Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

instance	iteration	date learned	confidence
grill_pans is an item found in the kitchen	1111	06-jul-2018	99.7
westfield_horton_plaza_shopping_center is a shopping mall	1111	06-jul-2018	100.0
antonietta_raphael is a visual artist	1111	06-jul-2018	100.0
france_north_pas_de_calais is a country	1111	06-jul-2018	96.9
n3_0000 is a programming language	1111	06-jul-2018	96.6

guo is a person who belongs to the organization china	1111	06-jul-2018	100.0
the sport baseball was played at n1961_world_series	1116	12-sep-2018	100.0
midway is an attraction that will be fall in city chicago_south	1116	12-sep-2018	100.0
toni_morrison contributed to the creative work song_of_solomon	1112	24-jul-2018	93.8
whale is a type of mammals	1114	25-aug-2018	99.9

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts